Overview

Dataset statistics

Number of variables7
Number of observations37
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory2.2 KiB
Average record size in memory61.6 B

Variable types

Text1
Categorical4
Numeric2

Dataset

Description제주특별자치도 제주시 관내 산사태 취약 지역 지정 대상지 현황 데이터입니다.
Author제주특별자치도 제주시
URLhttps://www.data.go.kr/data/15056030/fileData.do

Alerts

취약지역 유형 has constant value ""Constant
취약지역 지정사유 has constant value ""Constant
데이터기준일자 has constant value ""Constant
면적 is highly overall correlated with 소유별High correlation
소유별 is highly overall correlated with 면적High correlation
소재지 has unique valuesUnique

Reproduction

Analysis started2023-12-12 20:41:43.631874
Analysis finished2023-12-12 20:41:44.428391
Duration0.8 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

소재지
Text

UNIQUE 

Distinct37
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size428.0 B
2023-12-13T05:41:44.619220image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length27
Median length25
Mean length22.864865
Min length18

Characters and Unicode

Total characters846
Distinct characters79
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique37 ?
Unique (%)100.0%

Sample

1st row제주특별자치도 제주시 애월읍 광령리 산183-2
2nd row제주특별자치도 제주시 조천읍 북촌리 2141-4
3rd row제주특별자치도 제주시 조천읍 북촌리 2140-4
4th row제주특별자치도 제주시 한경면 고산리 3616-16
5th row제주특별자치도 제주시 구좌읍 한동리 산40
ValueCountFrequency (%)
제주특별자치도 37
21.4%
제주시 37
21.4%
구좌읍 11
 
6.4%
조천읍 4
 
2.3%
한경면 4
 
2.3%
종달리 4
 
2.3%
한림읍 3
 
1.7%
애월읍 3
 
1.7%
산20 3
 
1.7%
삼양동 2
 
1.2%
Other values (58) 65
37.6%
2023-12-13T05:41:45.017441image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
136
16.1%
제 74
 
8.7%
주 74
 
8.7%
도 38
 
4.5%
별 37
 
4.4%
자 37
 
4.4%
치 37
 
4.4%
특 37
 
4.4%
시 37
 
4.4%
리 25
 
3.0%
Other values (69) 314
37.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 573
67.7%
Space Separator 136
 
16.1%
Decimal Number 125
 
14.8%
Dash Punctuation 12
 
1.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
제 74
12.9%
주 74
12.9%
도 38
 
6.6%
별 37
 
6.5%
자 37
 
6.5%
치 37
 
6.5%
특 37
 
6.5%
시 37
 
6.5%
리 25
 
4.4%
읍 21
 
3.7%
Other values (57) 156
27.2%
Decimal Number
ValueCountFrequency (%)
1 23
18.4%
4 19
15.2%
2 16
12.8%
6 13
10.4%
3 13
10.4%
0 12
9.6%
9 12
9.6%
8 7
 
5.6%
5 6
 
4.8%
7 4
 
3.2%
Space Separator
ValueCountFrequency (%)
136
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 12
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 573
67.7%
Common 273
32.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
제 74
12.9%
주 74
12.9%
도 38
 
6.6%
별 37
 
6.5%
자 37
 
6.5%
치 37
 
6.5%
특 37
 
6.5%
시 37
 
6.5%
리 25
 
4.4%
읍 21
 
3.7%
Other values (57) 156
27.2%
Common
ValueCountFrequency (%)
136
49.8%
1 23
 
8.4%
4 19
 
7.0%
2 16
 
5.9%
6 13
 
4.8%
3 13
 
4.8%
0 12
 
4.4%
9 12
 
4.4%
- 12
 
4.4%
8 7
 
2.6%
Other values (2) 10
 
3.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 573
67.7%
ASCII 273
32.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
136
49.8%
1 23
 
8.4%
4 19
 
7.0%
2 16
 
5.9%
6 13
 
4.8%
3 13
 
4.8%
0 12
 
4.4%
9 12
 
4.4%
- 12
 
4.4%
8 7
 
2.6%
Other values (2) 10
 
3.7%
Hangul
ValueCountFrequency (%)
제 74
12.9%
주 74
12.9%
도 38
 
6.6%
별 37
 
6.5%
자 37
 
6.5%
치 37
 
6.5%
특 37
 
6.5%
시 37
 
6.5%
리 25
 
4.4%
읍 21
 
3.7%
Other values (57) 156
27.2%

취약지역 유형
Categorical

CONSTANT 

Distinct1
Distinct (%)2.7%
Missing0
Missing (%)0.0%
Memory size428.0 B
산사태
37 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row산사태
2nd row산사태
3rd row산사태
4th row산사태
5th row산사태

Common Values

ValueCountFrequency (%)
산사태 37
100.0%

Length

2023-12-13T05:41:45.210708image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T05:41:45.317717image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
산사태 37
100.0%

면적
Real number (ℝ)

HIGH CORRELATION 

Distinct14
Distinct (%)37.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean432.83784
Minimum100
Maximum2000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size465.0 B
2023-12-13T05:41:45.426650image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum100
5-th percentile100
Q1150
median250
Q3465
95-th percentile1600
Maximum2000
Range1900
Interquartile range (IQR)315

Descriptive statistics

Standard deviation490.78245
Coefficient of variation (CV)1.1338714
Kurtosis4.5450019
Mean432.83784
Median Absolute Deviation (MAD)130
Skewness2.2342058
Sum16015
Variance240867.42
MonotonicityNot monotonic
2023-12-13T05:41:45.565245image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
100 6
16.2%
300 5
13.5%
250 4
10.8%
150 4
10.8%
200 3
8.1%
500 3
8.1%
1000 3
8.1%
120 2
 
5.4%
2000 2
 
5.4%
400 1
 
2.7%
Other values (4) 4
10.8%
ValueCountFrequency (%)
100 6
16.2%
120 2
 
5.4%
150 4
10.8%
160 1
 
2.7%
200 3
8.1%
250 4
10.8%
300 5
13.5%
400 1
 
2.7%
450 1
 
2.7%
465 1
 
2.7%
ValueCountFrequency (%)
2000 2
 
5.4%
1500 1
 
2.7%
1000 3
8.1%
500 3
8.1%
465 1
 
2.7%
450 1
 
2.7%
400 1
 
2.7%
300 5
13.5%
250 4
10.8%
200 3
8.1%

거리
Real number (ℝ)

Distinct15
Distinct (%)40.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1691.2162
Minimum5
Maximum5000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size465.0 B
2023-12-13T05:41:45.720784image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum5
5-th percentile18
Q1100
median1000
Q33000
95-th percentile5000
Maximum5000
Range4995
Interquartile range (IQR)2900

Descriptive statistics

Standard deviation1761.2564
Coefficient of variation (CV)1.0414141
Kurtosis-0.71572406
Mean1691.2162
Median Absolute Deviation (MAD)990
Skewness0.78431847
Sum62575
Variance3102024.2
MonotonicityNot monotonic
2023-12-13T05:41:45.851017image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=15)
ValueCountFrequency (%)
2000 6
16.2%
5000 5
13.5%
3000 4
10.8%
200 3
8.1%
30 3
8.1%
1000 3
8.1%
50 3
8.1%
500 3
8.1%
4000 1
 
2.7%
3500 1
 
2.7%
Other values (5) 5
13.5%
ValueCountFrequency (%)
5 1
 
2.7%
10 1
 
2.7%
20 1
 
2.7%
30 3
8.1%
50 3
8.1%
100 1
 
2.7%
200 3
8.1%
500 3
8.1%
600 1
 
2.7%
1000 3
8.1%
ValueCountFrequency (%)
5000 5
13.5%
4000 1
 
2.7%
3500 1
 
2.7%
3000 4
10.8%
2000 6
16.2%
1000 3
8.1%
600 1
 
2.7%
500 3
8.1%
200 3
8.1%
100 1
 
2.7%

소유별
Categorical

HIGH CORRELATION 

Distinct4
Distinct (%)10.8%
Missing0
Missing (%)0.0%
Memory size428.0 B
사유지
25 
국유지
6 
도유지
5 
산림청
 
1

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique1 ?
Unique (%)2.7%

Sample

1st row국유지
2nd row사유지
3rd row사유지
4th row사유지
5th row사유지

Common Values

ValueCountFrequency (%)
사유지 25
67.6%
국유지 6
 
16.2%
도유지 5
 
13.5%
산림청 1
 
2.7%

Length

2023-12-13T05:41:45.985758image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T05:41:46.110903image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
사유지 25
67.6%
국유지 6
 
16.2%
도유지 5
 
13.5%
산림청 1
 
2.7%

취약지역 지정사유
Categorical

CONSTANT 

Distinct1
Distinct (%)2.7%
Missing0
Missing (%)0.0%
Memory size428.0 B
경사면 토석유실
37 

Length

Max length8
Median length8
Mean length8
Min length8

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row경사면 토석유실
2nd row경사면 토석유실
3rd row경사면 토석유실
4th row경사면 토석유실
5th row경사면 토석유실

Common Values

ValueCountFrequency (%)
경사면 토석유실 37
100.0%

Length

2023-12-13T05:41:46.241544image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T05:41:46.369934image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
경사면 37
50.0%
토석유실 37
50.0%

데이터기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)2.7%
Missing0
Missing (%)0.0%
Memory size428.0 B
2021-03-25
37 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2021-03-25
2nd row2021-03-25
3rd row2021-03-25
4th row2021-03-25
5th row2021-03-25

Common Values

ValueCountFrequency (%)
2021-03-25 37
100.0%

Length

2023-12-13T05:41:46.490703image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T05:41:46.604029image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2021-03-25 37
100.0%

Interactions

2023-12-13T05:41:43.982261image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T05:41:43.811306image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T05:41:44.078980image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T05:41:43.898393image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-13T05:41:46.667001image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
소재지면적거리소유별
소재지1.0001.0001.0001.000
면적1.0001.0000.0000.786
거리1.0000.0001.0000.171
소유별1.0000.7860.1711.000
2023-12-13T05:41:46.764809image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
면적거리소유별
면적1.000-0.0920.610
거리-0.0921.0000.088
소유별0.6100.0881.000

Missing values

2023-12-13T05:41:44.218435image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T05:41:44.367675image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

Sample

소재지취약지역 유형면적거리소유별취약지역 지정사유데이터기준일자
0제주특별자치도 제주시 애월읍 광령리 산183-2산사태2505000국유지경사면 토석유실2021-03-25
1제주특별자치도 제주시 조천읍 북촌리 2141-4산사태100200사유지경사면 토석유실2021-03-25
2제주특별자치도 제주시 조천읍 북촌리 2140-4산사태100200사유지경사면 토석유실2021-03-25
3제주특별자치도 제주시 한경면 고산리 3616-16산사태30030사유지경사면 토석유실2021-03-25
4제주특별자치도 제주시 구좌읍 한동리 산40산사태1505000사유지경사면 토석유실2021-03-25
5제주특별자치도 제주시 구좌읍 세화리 산6산사태1205000국유지경사면 토석유실2021-03-25
6제주특별자치도 제주시 구좌읍 종달리 4930산사태2501000국유지경사면 토석유실2021-03-25
7제주특별자치도 제주시 도련1동 1231산사태30030사유지경사면 토석유실2021-03-25
8제주특별자치도 제주시 한경면 판포리 982산사태2004000도유지경사면 토석유실2021-03-25
9제주특별자치도 제주시 한경면 청수리 1230산사태1503000사유지경사면 토석유실2021-03-25
소재지취약지역 유형면적거리소유별취약지역 지정사유데이터기준일자
27제주특별자치도 제주시 구좌읍 송당리 산40산사태2502000사유지경사면 토석유실2021-03-25
28제주특별자치도 제주시 구좌읍 덕천리 산69산사태1003000사유지경사면 토석유실2021-03-25
29제주특별자치도 제주시 구좌읍 세화리 2593산사태2505000사유지경사면 토석유실2021-03-25
30제주특별자치도 제주시 구좌읍 종달리 4424산사태4501000사유지경사면 토석유실2021-03-25
31제주특별자치도 제주시 구좌읍 종달리 4409산사태1501000사유지경사면 토석유실2021-03-25
32제주특별자치도 제주시 구좌읍 종달리 산20산사태5002000국유지경사면 토석유실2021-03-25
33제주특별자치도 제주시 연동 산46산사태2000500도유지경사면 토석유실2021-03-25
34제주특별자치도 제주시 봉개동 산78-1산사태1500500산림청경사면 토석유실2021-03-25
35제주특별자치도 제주시 조천읍 교래리 산98산사태20002000도유지경사면 토석유실2021-03-25
36제주특별자치도 제주시 구좌읍 김녕리 2723산사태1000100사유지경사면 토석유실2021-03-25